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How to use handleTable method of conceptExtractor Package

Best Gauge code snippet using conceptExtractor.handleTable

conceptExtractor.go

Source:conceptExtractor.go

...144	for _, step := range e.stepsToExtract {145		tokens, _ := new(parser.SpecParser).GenerateTokens("*"+step.GetName(), cptFileName)146		stepInConcept, _ := parser.CreateStepUsingLookup(tokens[0], nil, cptFileName)147		if step.GetTable() != "" {148			if err := e.handleTable(stepInConcept, step, cptFileName); err != nil {149				return err150			}151		}152		stepInConcept.ReplaceArgsWithDynamic(e.conceptStep.Args)153		e.stepsInConcept += formatter.FormatStep(stepInConcept)154	}155	return nil156}157func (e *extractor) handleTable(stepInConcept *gauge.Step, step *gm.Step, cptFileName string) error {158	stepInConcept.Value += " {}"159	specText := e.fileContent + step.GetTable()160	spec, result, err := new(parser.SpecParser).Parse(specText, &gauge.ConceptDictionary{}, cptFileName)161	if err != nil {162		return err163	}164	if !result.Ok {165		for _, err := range result.ParseErrors {166			e.errors = append(e.errors, err)167		}168		return nil169	}170	stepArgs := []*gauge.StepArg{spec.Scenarios[0].Steps[0].Args[0]}171	e.addTableAsParam(step, stepArgs)...

handleTable

Using AI Code Generation

1import "fmt"2func main() {3    fmt.Println("Hello, World!")4}5import "fmt"6func main() {7    fmt.Println("Hello, World!")8}9import "fmt"10func main() {11    fmt.Println("Hello, World!")12}13import "fmt"14func main() {15    fmt.Println("Hello, World!")16}17import "fmt"18func main() {19    fmt.Println("Hello, World!")20}21import "fmt"22func main() {23    fmt.Println("Hello, World!")24}25import "fmt"26func main() {27    fmt.Println("Hello, World!")28}29import "fmt"30func main() {31    fmt.Println("Hello, World!")32}33import "fmt"34func main() {35    fmt.Println("Hello, World!")36}37import "fmt"38func main() {39    fmt.Println("Hello, World!")40}41import "fmt"42func main() {43    fmt.Println("Hello, World!")44}45import "fmt"46func main() {47    fmt.Println("Hello, World!")48}49import "fmt"50func main() {51    fmt.Println("Hello, World!")52}

handleTable

Using AI Code Generation

1func main() {2	conceptExtractor.handleTable()3}4func main() {5	conceptExtractor.handleTable()6}7func main() {8	conceptExtractor.handleTable()9}10func main() {11	conceptExtractor.handleTable()12}13func main() {14	conceptExtractor.handleTable()15}16func main() {17	conceptExtractor.handleTable()18}19func main() {20	conceptExtractor.handleTable()21}22func main() {23	conceptExtractor.handleTable()24}25func main() {26	conceptExtractor.handleTable()27}28func main() {29	conceptExtractor.handleTable()30}31func main() {32	conceptExtractor.handleTable()33}34func main() {35	conceptExtractor.handleTable()36}37func main() {38	conceptExtractor.handleTable()39}40func main() {41	conceptExtractor.handleTable()42}

handleTable

Using AI Code Generation

1import (2type conceptExtractor struct {3}4func (c *conceptExtractor) handleTable(table *xlsx.Sheet) {5	for _, row := range table.Rows {6		for _, cell := range row.Cells {7", cell.String())8			if strings.Contains(cell.String(), "concept") {9				c.Concepts[table.Name] = make(map[string]string)10				for _, cell := range row.Cells {11", cell.String())12					if strings.Contains(cell.String(), "concept") {13						c.Concepts[table.Name]["concept"] = strings.Split(cell.String(), ":")[1]14					}15					if strings.Contains(cell.String(), "conceptType") {16						c.Concepts[table.Name]["conceptType"] = strings.Split(cell.String(), ":")[1]17					}18					if strings.Contains(cell.String(), "conceptDescription") {19						c.Concepts[table.Name]["conceptDescription"] = strings.Split(cell.String(), ":")[1]20					}21					if strings.Contains(cell.String(), "conceptSource") {22						c.Concepts[table.Name]["conceptSource"] = strings.Split(cell.String(), ":")[1]23					}24				}

handleTable

Using AI Code Generation

1import (2type conceptExtractor struct {3}4func (ce *conceptExtractor) handleTable(tableStr string) {5}6func main() {7}8import (9type conceptExtractor struct {10}11func (ce *conceptExtractor) handleTable(tableStr string) {12}13func main() {14}15import (16type conceptExtractor struct {17}18func (ce *conceptExtractor) handleTable(tableStr string) {19}20func main() {21}22import (23type conceptExtractor struct {24}25func (ce *conceptExtractor) handleTable(tableStr string) {26}27func main() {28}29import (30type conceptExtractor struct {31}32func (ce *conceptExtractor) handleTable(tableStr string) {33}34func main() {35}

handleTable

Using AI Code Generation

1import (2type ConceptExtractor struct {3}4func (c *ConceptExtractor) handleTable(table []string) []string {5	concepts := make([]string, 0)6	for _, line := range table {7		words := strings.Split(line, " ")8		for _, word := range words {9			if contains(c.Concepts, word) {10				concepts = append(concepts, word)11			}12		}13	}14}15func contains(a []string, x string) bool {16	for _, n := range a {17		if x == n {18		}19	}20}21func main() {22	file, err := os.Open("Concepts.txt")23	if err != nil {24		fmt.Println("Error in opening file")25	}26	defer file.Close()27	scanner := bufio.NewScanner(file)28	scanner.Split(bufio.ScanLines)29	for scanner.Scan() {30		lines = append(lines, scanner.Text())31	}32	ce := ConceptExtractor{}33	table, err := ioutil.ReadFile("Table.txt")34	if err != nil {35		fmt.Println("Error in opening file")36	}37	concepts := ce.handleTable(strings.Split(string(table), "38	fmt.Println(concepts)39	file, err = os.Create("Output.txt")40	if err != nil {41		fmt.Println("Error in opening file")42	}43	defer file.Close()44	writer := bufio.NewWriter(file)45	for _, concept := range concepts {46		fmt.Fprintln(writer, concept)47	}48	writer.Flush()49}50import (51type ConceptExtractor struct {52}53func (c *ConceptExtractor) handleTable(table []string)

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